Dataset for Improved detection of vowel eFFRs using HT2 analysis
Dataset for Improved detection of vowel eFFRs using HT2 analysis
Raw EEG data in .bdf format, collected using a 32-channel ActiveTwo EEG system (BioSemi, the Netherlands). EEG data were measured during presentation of words at an intensity of 70 dB SPL using ER-2 insert earphones. Stimuli were 4 random words, one presented each second, with an offset to onset inter-stimulus interval of at least 300 ms. Data are published in according with the EPSRC guidelines for data sharing.
As the dataset is approx 54GB, it is available on request via https://library.soton.ac.uk/datarequest
Vanheusden, Frederique
c3022456-907d-4dfa-b537-b3fbc119d76b
Bell, Steven
91de0801-d2b7-44ba-8e8e-523e672aed8a
Simpson, David
53674880-f381-4cc9-8505-6a97eeac3c2a
Vanheusden, Frederique
c3022456-907d-4dfa-b537-b3fbc119d76b
Bell, Steven
91de0801-d2b7-44ba-8e8e-523e672aed8a
Simpson, David
53674880-f381-4cc9-8505-6a97eeac3c2a
Vanheusden, Frederique, Bell, Steven and Simpson, David
(2017)
Dataset for Improved detection of vowel eFFRs using HT2 analysis.
EPSRC
doi:10.5258/SOTON/D0005
[Dataset]
Abstract
Raw EEG data in .bdf format, collected using a 32-channel ActiveTwo EEG system (BioSemi, the Netherlands). EEG data were measured during presentation of words at an intensity of 70 dB SPL using ER-2 insert earphones. Stimuli were 4 random words, one presented each second, with an offset to onset inter-stimulus interval of at least 300 ms. Data are published in according with the EPSRC guidelines for data sharing.
As the dataset is approx 54GB, it is available on request via https://library.soton.ac.uk/datarequest
Text
readme.txt
- Dataset
More information
Published date: 2017
Organisations:
Human Sciences Group, Signal Processing & Control Grp
Identifiers
Local EPrints ID: 418815
URI: http://eprints.soton.ac.uk/id/eprint/418815
PURE UUID: 7dbc5135-1931-4c60-a637-5a339b529e43
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Date deposited: 22 Mar 2018 17:32
Last modified: 04 Nov 2023 02:39
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Contributors
Creator:
Frederique Vanheusden
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